Automatic siting for air quality monitoring stations

Patent metadata

Field	Value
Publication number	US-2020003742-A1
Application number	US-201916567172-A
Country	US
Kind code	A1
Filing date	Sep 11, 2019
Priority date	Apr 24, 2017
Publication date	Jan 2, 2020
Grant date	—

Abstract

A system, a computer readable storage medium, and a method for automatically siting for air quality monitoring stations includes collecting from air quality monitoring stations air pollution concentration data, collecting from meteorological stations meteorological data, and interpolating, by the at least one or more processors, the air pollution concentration data to provide interpolated air pollution concentration data. The method and system can further cluster the interpolated air pollution concentration data and the meteorological data to provide clustered data and select a candidate site for an air monitoring station using the clustered data. The method and system can further evaluate a relationship of the air pollution concentration data with the meteorological data by weighting the air pollution data with the meteorological data.

First claim

What is claimed is:

1 . A system comprising:
a set of air quality monitoring stations individually placed and spaced apart at respective first set of locations in a defined geographic area to measure and monitor air pollution concentration data at the respective first set of locations, the set of air quality monitoring stations being communicatively coupled with a computer system; a set of meteorological stations individually placed and spaced apart at respective second set of locations in the defined geographic area to measure and monitor meteorological data at the respective second set of locations, the set of meteorological stations being communicatively coupled with the computer system; a network interface device; at least one memory; and at least one processor of a computer system communicatively coupled with the at least one memory, the network interface device, at least one air quality monitoring station in the set of air quality monitoring stations, and at least one meteorological station in the set of meteorological stations, and wherein the at least one processor, responsive to instructions stored in the at least one memory, being configured to perform a method comprising:
collecting from the at least one air quality monitoring station in the set of air quality monitoring stations, air pollution concentration data at the respective location, in the first set of locations, of the at least one air quality monitoring station;
collecting from the at least one meteorological station in the set of meteorological stations, meteorological data at the respective location, in the second set of locations, of the at least one meteorological station;
interpolating in time and space at least the air pollution concentration data collected at the respective first set of locations to provide interpolated air pollution concentration data for more locations than the respective first set of locations and expanded to locations over the defined geographic area;
clustering, by the at least one processor, the interpolated air pollution concentration data and the meteorological data to provide clustered data;
selecting, by the at least one processor, a candidate site for siting an air monitoring station using the clustered data by
identifying a plurality of candidate sites and, for each time slice in a plurality of different time slices, a respective concentration of an air pollutant at each candidate site in the plurality of candidate sites in the defined geographic area respective first set of locations in a defined geographic area;
comparing, for each time slice in the plurality of different time slices, a concentration of the air pollutant at each candidate site to an average of all concentrations of the air pollutant at the plurality of candidate sites;
identifying, for each time slice in the plurality of different time slices, a center of meteorological fields in the defined geographic area;
identifying trajectory of centers of meteorological fields in the defined geographic area, based on combining time slices of clustered data of meteorological data;
selecting a candidate site from the plurality of candidate sites based on an atmospheric transmission pattern of the air pollutant that is identified with the identified trajectory of centers of meteorological fields and the concentration of the air pollutant at each candidate site in the plurality of candidate sites in the plurality of different time slices; and
siting a location of an air quality monitoring station at the selected candidate site.

2 . The system of claim 1 , further comprising instructions stored in memory which when executed by the at least one processor causes the at least one processor to perform the operation of evaluating a relationship of the air pollution concentration data with the meteorological data by weighting the air pollution concentration data with the meteorological data.

3 . The system of claim 1 , wherein the instructions stored in memory which when executed by the at least one processor causes the at least one processor to perform the operation of weighting the meteorological data by time of the year and the air pollution data by type of pollutant.

4 . The system of claim 1 , wherein the instructions stored in memory which when executed by the at least one processor causes the at least one processor to perform the operations of using meteorological data to find a center of meteorological fields of one time slice, combining a different time slice to find a trajectory of a meteorological condition in a certain region, matching the trajectory with the air pollution concentration data and trajectory clustering, and generating at least one of the candidate sites.

5 . The system of claim 1 , wherein the instructions stored in memory which when executed by the at least one processor causes the at least one processor to perform the operation of automatically generating a center of a field of pressure and a scope of the field of pressure by matching isobars of pressure and extreme points of pressure, determining the Hausdoff distance of isobars and extreme points and determining the Sobel gradient of the extreme points and a nearest isobar.

6 . The system of claim 5 , wherein the instructions stored in memory which when executed by the at least one processor causes the at least one processor to further perform applying parameters and constraints to an automatic site finder after the automatic site finder receives all the candidate sites.

7 . A non-transitory computer-readable storage medium having stored therein instructions which, when executed by at least one processor of a computer system, cause the at least one computer system to perform a method in a system which comprises
a set of air quality monitoring stations individually placed and spaced apart at respective first set of locations in a defined geographic area to measure and monitor air pollution concentration data at the respective first set of locations, the set of air quality monitoring stations being communicatively coupled with the computer system, and a set of meteorological stations individually placed and spaced apart at respective second set of locations in the defined geographic area to measure and monitor meteorological data at the respective second set of locations, the set of meteorological stations being communicatively coupled with the computer system, the method comprising:
collecting from at least one air quality monitoring station in the set of air quality monitoring stations, air pollution concentration data at the respective location, in the first set of locations, of the at least one air quality monitoring station;
collecting from at least one meteorological station in the set of meteorological stations, meteorological data at the respective location, in the second set of locations, of the at least one meteorological station;
interpolating in time and space at least the air pollution concentration data collected at the respective first set of locations to provide interpolated air pollution concentration data for more locations than the respective first set of locations and expanded to locations over the defined geographic area;
clustering, by the at least one processor, the interpolated air pollution concentration data and the meteorological data to provide clustered data;
selecting, by the at least one processor, a candidate site for siting an air monitoring station using the clustered data by
identifying a plurality of candidate sites and, for each time slice in a plurality of different time slices, a respective concentration of an air pollutant at each candidate site in the plurality of candidate sites in the defined geographic area respective first set of locations in a defined geographic area;
comp

Assignees

• IBM

Inventors

• Dong Jin
• Rui Xiao Guang
• Yao Jian
• Yin Wen Jun
• Zhang Chao
• Zhang Xin
• Zhao yu xin

Classifications

• G01N33/0075 Primary

  for multiple spatially distributed sensors, e.g. for environmental monitoring · CPC title

• G01N35/00871

  Communications between instruments or with remote terminals · CPC title

• G01N2035/00881

  network configurations · CPC title

• G01N15/06

  Investigating concentration of particle suspensions (by weighing G01N5/00; investigating sedimentation of particle suspensions G01N15/04; investigating individual particles G01N15/10) · CPC title

• G01N33/0022

  using a number of analysing channels · CPC title